The paper presents our design of a next generation information retrieval system based on tag co-occurrences and subsequent clustering. We help users getting access to digital data through information visualization in the form of tag clusters. Current problems like the absence of interactivity and semantics between tags or the difficulty of
adding additional search arguments are solved. In the evaluation, based upon SERVQUAL and IT systems quality indicators, we found out that tag
clusters are perceived as more useful than tag clouds, are much more trustworthy, and are more enjoyable to use.
%0 Conference Proceedings
%1 knautz2010clusters
%A Knautz, Kathrin
%A Soubusta, Simone
%A Stock, Wolfgang G.
%B Proceedings of the 43rd Hawaii International Conference on System Sciences
%C Los Alamitos, CA, USA
%D 2010
%I IEEE Computer Society
%K kaikoc query_expansion retrieval_interfaces tag_cluster web_based wisrep10
%P 1-10
%R 10.1109/HICSS.2010.360
%T Tag Clusters as Information Retrieval Interfaces
%U http://www.computer.org/portal/web/csdl/doi/10.1109/HICSS.2010.360
%X The paper presents our design of a next generation information retrieval system based on tag co-occurrences and subsequent clustering. We help users getting access to digital data through information visualization in the form of tag clusters. Current problems like the absence of interactivity and semantics between tags or the difficulty of
adding additional search arguments are solved. In the evaluation, based upon SERVQUAL and IT systems quality indicators, we found out that tag
clusters are perceived as more useful than tag clouds, are much more trustworthy, and are more enjoyable to use.
%@ 978-0-7695-3869-3
@proceedings{knautz2010clusters,
abstract = {The paper presents our design of a next generation information retrieval system based on tag co-occurrences and subsequent clustering. We help users getting access to digital data through information visualization in the form of tag clusters. Current problems like the absence of interactivity and semantics between tags or the difficulty of
adding additional search arguments are solved. In the evaluation, based upon SERVQUAL and IT systems quality indicators, we found out that tag
clusters are perceived as more useful than tag clouds, are much more trustworthy, and are more enjoyable to use.},
added-at = {2010-05-14T16:31:23.000+0200},
address = {Los Alamitos, CA, USA},
author = {Knautz, Kathrin and Soubusta, Simone and Stock, Wolfgang G.},
biburl = {https://www.bibsonomy.org/bibtex/2b7388f170eca7d47efac655fa705e78a/shodan},
booktitle = {Proceedings of the 43rd Hawaii International Conference on System Sciences},
crossref = {conf/hicss/2010},
doi = {10.1109/HICSS.2010.360},
interhash = {face2fca67aec14e9261c90f751fe37d},
intrahash = {b7388f170eca7d47efac655fa705e78a},
isbn = {978-0-7695-3869-3},
keywords = {kaikoc query_expansion retrieval_interfaces tag_cluster web_based wisrep10},
pages = {1-10},
publisher = {IEEE Computer Society},
school = {Heinrich-Heine-University Düsseldorf, Department of Information Science, Universitätsstrasse 1, D-40225 Düsseldorf, Germany},
timestamp = {2010-05-14T16:31:23.000+0200},
title = {Tag Clusters as Information Retrieval Interfaces},
url = {http://www.computer.org/portal/web/csdl/doi/10.1109/HICSS.2010.360},
year = 2010
}